





"""simple docstring"""





import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		Dict     ):







      '''simple docstring'''




      lowerCAmelCase    		=			{}

      lowerCAmelCase    		=			job["""started_at"""]
      lowerCAmelCase    		=			job["""completed_at"""]

      lowerCAmelCase    		=			date_parser.parse(SCREAMING_SNAKE_CASE     )
      lowerCAmelCase    		=			date_parser.parse(SCREAMING_SNAKE_CASE     )

      lowerCAmelCase    		=			round((end_datetime - start_datetime).total_seconds() / 60.0     )

      lowerCAmelCase    		=			start
      lowerCAmelCase    		=			end
      lowerCAmelCase    		=			duration_in_min

      return job_info


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		Dict				,		SCREAMING_SNAKE_CASE	:		Optional[int]=None     ):







      '''simple docstring'''




      lowerCAmelCase    		=			None
      if token is not None:
            lowerCAmelCase    		=			{"""Accept""": """application/vnd.github+json""", """Authorization""": F'Bearer {token}'}

      lowerCAmelCase    		=			F'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
      lowerCAmelCase    		=			requests.get(SCREAMING_SNAKE_CASE				,		headers=SCREAMING_SNAKE_CASE     ).json()
      lowerCAmelCase    		=			{}

      try:
            job_time.update({job["""name"""]: extract_time_from_single_job(SCREAMING_SNAKE_CASE     ) for job in result["""jobs"""]}     )
            lowerCAmelCase    		=			math.ceil((result["""total_count"""] - 1_00) / 1_00     )

            for i in range(SCREAMING_SNAKE_CASE     ):
                  lowerCAmelCase    		=			requests.get(url + F'&page={i + 2}'				,		headers=SCREAMING_SNAKE_CASE     ).json()
                  job_time.update({job["""name"""]: extract_time_from_single_job(SCREAMING_SNAKE_CASE     ) for job in result["""jobs"""]}     )

            return job_time
      except Exception:
            print(F'Unknown error, could not fetch links:\n{traceback.format_exc()}'     )

      return {}


if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__   =  argparse.ArgumentParser()
       # Required parameters
       parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
       SCREAMING_SNAKE_CASE__   =  parser.parse_args()

       SCREAMING_SNAKE_CASE__   =  get_job_time(args.workflow_run_id)
       SCREAMING_SNAKE_CASE__   =  dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

       for k, v in job_time.items():
              print(f'{k}: {v["duration"]}')













"""simple docstring"""





import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin

class 						lowercase   (   _UpperCAmelCase	,    unittest.TestCase   ):
      _SCREAMING_SNAKE_CASE							      = CanineTokenizer
      _SCREAMING_SNAKE_CASE							      = False





      def        _snake_case     (			self					)						->	Any:
            super().setUp()
            lowerCAmelCase    		=			CanineTokenizer()
            tokenizer.save_pretrained(self.tmpdirname					)





      @cached_property
      def        _snake_case     (			self					)						->	Union[str, Any]:
            return CanineTokenizer.from_pretrained("""google/canine-s"""					)





      def        _snake_case     (			self ,		**lowercase					)						->	CanineTokenizer:
            lowerCAmelCase    		=			self.tokenizer_class.from_pretrained(self.tmpdirname ,		**lowercase					)
            lowerCAmelCase    		=			1_024
            return tokenizer





      @require_torch
      def        _snake_case     (			self					)						->	str:
            lowerCAmelCase    		=			self.canine_tokenizer
            lowerCAmelCase    		=			["""Life is like a box of chocolates.""", """You never know what you're gonna get."""]
            # fmt: off
            lowerCAmelCase    		=			[57_344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57_345, 0, 0, 0, 0]
            # fmt: on
            lowerCAmelCase    		=			tokenizer(lowercase ,		padding=lowercase ,		return_tensors="""pt"""					)
            self.assertIsInstance(lowercase ,		lowercase					)

            lowerCAmelCase    		=			list(batch.input_ids.numpy()[0]					)

            self.assertListEqual(lowercase ,		lowercase					)

            self.assertEqual((2, 39) ,		batch.input_ids.shape					)
            self.assertEqual((2, 39) ,		batch.attention_mask.shape					)





      @require_torch
      def        _snake_case     (			self					)						->	Optional[Any]:
            lowerCAmelCase    		=			self.canine_tokenizer
            lowerCAmelCase    		=			["""Once there was a man.""", """He wrote a test in HuggingFace Tranformers."""]
            lowerCAmelCase    		=			tokenizer(lowercase ,		padding=lowercase ,		return_tensors="""pt"""					)
            # check if input_ids, attention_mask and token_type_ids are returned
            self.assertIn("""input_ids""" ,		lowercase					)
            self.assertIn("""attention_mask""" ,		lowercase					)
            self.assertIn("""token_type_ids""" ,		lowercase					)





      @require_torch
      def        _snake_case     (			self					)						->	Optional[int]:
            lowerCAmelCase    		=			self.canine_tokenizer
            lowerCAmelCase    		=			[
                """What's the weater?""",
                """It's about 25 degrees.""",
            ]
            lowerCAmelCase    		=			tokenizer(
                text_target=lowercase ,		max_length=32 ,		padding="""max_length""" ,		truncation=lowercase ,		return_tensors="""pt"""					)
            self.assertEqual(32 ,		targets["""input_ids"""].shape[1]					)





      def        _snake_case     (			self					)						->	Tuple:
            # safety check on max_len default value so we are sure the test works
            lowerCAmelCase    		=			self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        self.assertNotEqual(tokenizer.model_max_length ,		42					)

        # Now let's start the test
            lowerCAmelCase    		=			self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        # Isolate this from the other tests because we save additional tokens/etc
                        lowerCAmelCase    		=			tempfile.mkdtemp()

                        lowerCAmelCase    		=			""" He is very happy, UNwant\u00E9d,running"""
                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        tokenizer.save_pretrained(lowercase					)

                        lowerCAmelCase    		=			tokenizer.__class__.from_pretrained(lowercase					)
                        lowerCAmelCase    		=			after_tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        self.assertListEqual(lowercase ,		lowercase					)

                        shutil.rmtree(lowercase					)

            lowerCAmelCase    		=			self.get_tokenizers(model_max_length=42					)
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        # Isolate this from the other tests because we save additional tokens/etc
                        lowerCAmelCase    		=			tempfile.mkdtemp()

                        lowerCAmelCase    		=			""" He is very happy, UNwant\u00E9d,running"""

                        lowerCAmelCase    		=			tokenizer.additional_special_tokens

                        # We can add a new special token for Canine as follows:
                        lowerCAmelCase    		=			chr(0XE_007					)
                        additional_special_tokens.append(lowercase					)
                        tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}					)
                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        tokenizer.save_pretrained(lowercase					)

                        lowerCAmelCase    		=			tokenizer.__class__.from_pretrained(lowercase					)
                        lowerCAmelCase    		=			after_tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        self.assertListEqual(lowercase ,		lowercase					)
                        self.assertIn(lowercase ,		after_tokenizer.additional_special_tokens					)
                        self.assertEqual(after_tokenizer.model_max_length ,		42					)

                        lowerCAmelCase    		=			tokenizer.__class__.from_pretrained(lowercase ,		model_max_length=43					)
                        self.assertEqual(tokenizer.model_max_length ,		43					)

                        shutil.rmtree(lowercase					)





      def        _snake_case     (			self					)						->	Tuple:
            lowerCAmelCase    		=			self.get_tokenizers(do_lower_case=lowercase					)
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        lowerCAmelCase		,						lowerCAmelCase    		=			self.get_clean_sequence(lowercase					)

                        # a special token for Canine can be defined as follows:
                        lowerCAmelCase    		=			0XE_005
                        lowerCAmelCase    		=			chr(lowercase					)

                        tokenizer.add_special_tokens({"""cls_token""": special_token}					)
                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        self.assertEqual(len(lowercase					) ,		1					)

                        lowerCAmelCase    		=			tokenizer.decode(ids + encoded_special_token ,		clean_up_tokenization_spaces=lowercase					)
                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)

                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        self.assertEqual(lowercase ,		input_encoded + special_token_id					)

                        lowerCAmelCase    		=			tokenizer.decode(lowercase ,		skip_special_tokens=lowercase					)
                        self.assertTrue(special_token not in decoded					)





      def        _snake_case     (			self					)						->	Union[str, Any]:
            lowerCAmelCase    		=			self.get_tokenizers(do_lower_case=lowercase					)
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        lowerCAmelCase    		=			chr(0XE_005					)
                        lowerCAmelCase    		=			chr(0XE_006					)

                        # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
                        tokenizer.add_tokens([SPECIAL_TOKEN_1] ,		special_tokens=lowercase					)
                        # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
                        # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
                        tokenizer.add_special_tokens({"""additional_special_tokens""": [SPECIAL_TOKEN_2]}					)

                        lowerCAmelCase    		=			tokenizer.tokenize(lowercase					)
                        lowerCAmelCase    		=			tokenizer.tokenize(lowercase					)

                        self.assertEqual(len(lowercase					) ,		1					)
                        self.assertEqual(len(lowercase					) ,		1					)
                        self.assertEqual(token_a[0] ,		lowercase					)
                        self.assertEqual(token_a[0] ,		lowercase					)





      @require_tokenizers
      def        _snake_case     (			self					)						->	Union[str, Any]:
            lowerCAmelCase    		=			self.get_tokenizers(do_lower_case=lowercase					)
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        # a special token for Canine can be defined as follows:
                        lowerCAmelCase    		=			0XE_006
                        lowerCAmelCase    		=			chr(lowercase					)

                        lowerCAmelCase    		=			AddedToken(lowercase ,		lstrip=lowercase					)
                        tokenizer.add_special_tokens({"""additional_special_tokens""": [new_token]}					)

                        with tempfile.TemporaryDirectory() as tmp_dir_name:
                              tokenizer.save_pretrained(lowercase					)
                              tokenizer.from_pretrained(lowercase					)





      def        _snake_case     (			self					)						->	Dict:
            lowerCAmelCase    		=			[]
            if self.test_slow_tokenizer:
                  tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())					)

            if self.test_rust_tokenizer:
                  tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())					)

            for tokenizer_class, tokenizer_utils in tokenizer_list:
                  with tempfile.TemporaryDirectory() as tmp_dir:
                        tokenizer_utils.save_pretrained(lowercase					)

                        with open(os.path.join(lowercase ,		"""special_tokens_map.json"""					) ,		encoding="""utf-8"""					) as json_file:
                              lowerCAmelCase    		=			json.load(lowercase					)

                        with open(os.path.join(lowercase ,		"""tokenizer_config.json"""					) ,		encoding="""utf-8"""					) as json_file:
                              lowerCAmelCase    		=			json.load(lowercase					)

                        # a special token for Canine can be defined as follows:
                        lowerCAmelCase    		=			0XE_006
                        lowerCAmelCase    		=			chr(lowercase					)

                        lowerCAmelCase    		=			[new_token_a]
                        lowerCAmelCase    		=			[new_token_a]

                        with open(os.path.join(lowercase ,		"""special_tokens_map.json"""					) ,		"""w""" ,		encoding="""utf-8"""					) as outfile:
                              json.dump(lowercase ,		lowercase					)
                        with open(os.path.join(lowercase ,		"""tokenizer_config.json"""					) ,		"""w""" ,		encoding="""utf-8"""					) as outfile:
                              json.dump(lowercase ,		lowercase					)

                        # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                        # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                        # "special_tokens_map.json" files
                        lowerCAmelCase    		=			tokenizer_class.from_pretrained(lowercase ,		extra_ids=0					)
                        self.assertIn(lowercase ,		tokenizer_without_change_in_init.additional_special_tokens					)
                        # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                        self.assertEqual(
                            [new_token_a] ,		tokenizer_without_change_in_init.convert_ids_to_tokens(
                                tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]					)					) ,		)

                        lowerCAmelCase    		=			0XE_007
                        lowerCAmelCase    		=			chr(lowercase					)
                        # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                        lowerCAmelCase    		=			[AddedToken(lowercase ,		lstrip=lowercase					)]
                        lowerCAmelCase    		=			tokenizer_class.from_pretrained(
                            lowercase ,		additional_special_tokens=lowercase ,		extra_ids=0					)

                        self.assertIn(lowercase ,		tokenizer.additional_special_tokens					)
                        # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
                        self.assertEqual(
                            [new_token_a] ,		tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]					)					)					)





      @require_tokenizers
      def        _snake_case     (			self					)						->	Tuple:
            lowerCAmelCase    		=			self.get_tokenizers(do_lower_case=lowercase					)
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        lowerCAmelCase    		=			"""hello world"""
                        if self.space_between_special_tokens:
                              lowerCAmelCase    		=			"""[CLS] hello world [SEP]"""
                        else:
                              lowerCAmelCase    		=			input
                        lowerCAmelCase    		=			tokenizer.encode(lowercase ,		add_special_tokens=lowercase					)
                        lowerCAmelCase    		=			tokenizer.decode(lowercase ,		spaces_between_special_tokens=self.space_between_special_tokens					)
                        self.assertIn(lowercase ,		[output, output.lower()]					)





      def        _snake_case     (			self					)						->	List[str]:
            lowerCAmelCase    		=			self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'					):
                        lowerCAmelCase    		=			[
                            """bos_token""",
                            """eos_token""",
                            """unk_token""",
                            """sep_token""",
                            """pad_token""",
                            """cls_token""",
                            """mask_token""",
                        ]

            lowerCAmelCase    		=			"""a"""
            lowerCAmelCase    		=			ord(lowercase					)

            for attr in attributes_list:
                  setattr(lowercase ,		attr + """_id""" ,		lowercase					)
                  self.assertEqual(getattr(lowercase ,		lowercase					) ,		lowercase					)
                  self.assertEqual(getattr(lowercase ,		attr + """_id"""					) ,		lowercase					)

                  setattr(lowercase ,		attr + """_id""" ,		lowercase					)
                  self.assertEqual(getattr(lowercase ,		lowercase					) ,		lowercase					)
                  self.assertEqual(getattr(lowercase ,		attr + """_id"""					) ,		lowercase					)

            setattr(lowercase ,		"""additional_special_tokens_ids""" ,		[]					)
            self.assertListEqual(getattr(lowercase ,		"""additional_special_tokens"""					) ,		[]					)
            self.assertListEqual(getattr(lowercase ,		"""additional_special_tokens_ids"""					) ,		[]					)

            lowerCAmelCase    		=			0XE_006
            lowerCAmelCase    		=			chr(lowercase					)
            setattr(lowercase ,		"""additional_special_tokens_ids""" ,		[additional_special_token_id]					)
            self.assertListEqual(getattr(lowercase ,		"""additional_special_tokens"""					) ,		[additional_special_token]					)
            self.assertListEqual(getattr(lowercase ,		"""additional_special_tokens_ids"""					) ,		[additional_special_token_id]					)





      def        _snake_case     (			self					)						->	Tuple:
            pass





      def        _snake_case     (			self					)						->	Optional[Any]:
            pass





      def        _snake_case     (			self					)						->	Dict:
            pass





      def        _snake_case     (			self					)						->	str:
            pass





      def        _snake_case     (			self					)						->	Optional[int]:
            pass





      def        _snake_case     (			self					)						->	Optional[int]:
            pass





      def        _snake_case     (			self					)						->	Union[str, Any]:
            pass





      def        _snake_case     (			self					)						->	Optional[Any]:
            pass






